AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 920 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) copy old unfair choices (d) test on one group only
2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
4. 4.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) ignore complaints (d) test on one group only
5. 5.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) add more of the same (d) ignore complaints
6. 6.Which of these adds to bias? (a) balance the data (b) add varied examples (c) add more of the same (d) ask different people
7. 7.True or false: “test on one group only” adds to bias. (a) True (b) False
8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) copy old unfair choices (d) skip testing
10. 10.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) use one group only (d) check who is missing
11. 11.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) add more of the same (d) use one group only
13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
14. 14.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.True or false: “test on one group only” helps reduce bias. (a) False (b) True
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
18. 18.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) skip testing (d) ask different people
21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
22. 22.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
28. 28.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
30. 30.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) test on one group only (d) use one group only
32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) use one group only (d) ignore complaints
34. 34.True or false: “balance the data” adds to bias. (a) True (b) False
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
36. 36.Which of these adds to bias? (a) balance the data (b) test on many groups (c) add varied examples (d) use one group only
37. 37.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) copy old unfair choices (d) ask different people
38. 38.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
39. 39.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
40. 40.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data

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